Hello, my name is Spencer! I am currently a Ph.D. student at the National University of Singapore (NUS) advised by Prof. Bryan Low. My research primarily focuses on large language models.

Previously, I spent time as a visiting researcher at Stony Brook University (advised by Prof. Ting Wang) and Tsinghua University (supervised by Prof. Zhiyuan Liu). I also had the opportunity to work with Prof. Junfeng Yang and Prof. Asaf Cidon while earning my Master’s.

I received my Bachelor’s degrees from UC Berkeley and have an M.S. from Columbia University.

News

June 2025: EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions has been accepted at FEVER 2025 (co-located with ACL 2025)! [paper]
January 2025: I started my Ph.D. at NUS!
October 2024: Nazar: Monitoring and Adapting ML Models on Mobile Devices has been accepted to ASPLOS 2025!
March 2024: PETA: Parameter-Efficient Trojan Attacks has been accepted to the SeT LLM Workshop at ICLR 2024! [paper]
January 2024: ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs has been accepted to ICLR 2024 as a spotlight! [paper]

Publications and Preprints

2025

Mind the Values: Assessing the Values of Large Language Models for Southeast Asian Languages
Spencer Hong, Hwee Tou Ng

Watermark under Fire: A Robustness Evaluation of LLM Watermarking
Jiacheng Liang, Zian Wang, Spencer Hong, Shouling Ji, Ting Wang
EMNLP 2025 Findings

EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions
Spencer Hong, Meng Luo, Xinyi Wan
ACL 2025 Workshop on Fact Extraction and Verification

Nazar: Monitoring and Adapting ML Models on Mobile Devices
Wei Hao, Zixi Wang, Spencer Hong, Lingxiao Li, Nader Karayanni, AnMei Dasbach-Prisk, Chengzhi Mao, Junfeng Yang, Asaf Cidon
ASPLOS 2025

2024

PETA: Parameter-Efficient Trojan Attacks
Spencer Hong, Ting Wang
ICLR 2024 Workshop on Secure and Trustworthy Large Language Models

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Spencer Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, dahai li, Zhiyuan Liu, Maosong Sun
ICLR 2024 (Spotlight)